Comparison for selection technique in genetic algorithm/ Muhamad Azree bin Mat Said

By: Material type: TextTextPublication details: Kuantan, Pahang : KUKTEM , 2006Description: xiii, 42 p. : ill. ; 30 cmISBN:
  • THE0001940(Local)
Subject(s): Dissertation note: Project paper (Bachelor of Computer Science (Software Engineering)) -- Kolej Universiti Kejuruteraan dan Teknologi Malaysia - 2006 Summary: The purpose of this project is to make a comparison for three selection techniques in Genetic Algorithm. The Genetic Algorithm has been implemented in the previous module for Chess Tournament Management System. Base on previous system the selection method only using randomize. By this project module, only three selections method were use for the comparison. They are Roulette Wheel, Steady-State and Rank selection. The result for this comparison has determined the appropriate selection for Genetic Algorithm implementation in Chess Tournament Management System. This will help Chess Tournament Management System to provide a better optimize schedule.
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Item type Current library Call number Copy number Status Date due Barcode
Final Year Report Final Year Report UMPLIB PEKAN QA76.9.A43 M84 2006 rs Thesis (Browse shelf(Opens below)) 1 Not for loan 0000021222

Project paper (Bachelor of Computer Science (Software Engineering)) -- Kolej Universiti Kejuruteraan dan Teknologi Malaysia - 2006

Bibliography : p. 41

The purpose of this project is to make a comparison for three selection techniques in Genetic Algorithm. The Genetic Algorithm has been implemented in the previous module for Chess Tournament Management System. Base on previous system the selection method only using randomize. By this project module, only three selections method were use for the comparison. They are Roulette Wheel, Steady-State and Rank selection. The result for this comparison has determined the appropriate selection for Genetic Algorithm implementation in Chess Tournament Management System. This will help Chess Tournament Management System to provide a better optimize schedule.

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